Open Data

Este fichero es copia de uno alojado en Github, en este link y que se actualiza periódicamente.

Fuentes de datos abiertos y APIs

• CRAN Task View OpenData
• Datos en paquetes de R
• Kaggle datasets
• UCI Machine Learning Repository
• DH Network
• Helsinki Open Data
• Datasets de Quandl
• Amazon AWS: este y este
• Gobierno Estados Unidos
• Datos abiertos de la Unión Europea
• Canada Open Government Portal
• UK Open Data
• API de GitHub
• API de Facebook
• Blog. 100 recursos sobre Big Data y Data Science
• NASDAQ
• Google finanzas
• CaixaBank Research
• Satélite Landsat
• OCDE
• Open data EMT
• Datos abiertos del gobierno de España
• Datos abiertos del Ayuntamiento de Madrid
• Datos abiertos de la Generalitat de Cataluña
• Datos abiertos Junta de Andalucía
• Datos abiertos de Santander
• Natural Earth
• Fuentes de datos espaciales (Diva-GIS)
• Opendata del CERN
• Paquete de R ‘datasets’
• 46 museos y bibliotecas que han digitalizado todo su conocimiento y lo ofrecen gratis en internet
• Infraestructura de Datos Espaciales de España
• Infraestructura de Datos Espaciales de la Comunidad de Madrid
• Microsoft Cognitive Services
• Google Cloud Vision API
• Análisis de 1.100 millones de trayectos de taxis y uber en NYC
• European Data Portal
• Propublica
• NOAA. Agencia de meteo. USA.
• Datosclima. Base de datos meteo
• Dirección General de Tráfico (DGT)
• National Historical Geographic Information System (NHGIS)
• Datos de todos los vuelos en USA entre 1987 y 2008 (datos originales)
• Datos de todos los vuelos en USA entre 1987 y 2008 (otra fuente y ejemplos de uso en H2O). 120G
• Open Data Inception. 1.600 portales abiertos
• ImageNet database
• API TomTom. Tráfico en ciudades
• Mapas de Open Street Maps
• European Data Portal
• 20 Awesome Websites For Collecting Big Data
• Climate Data Online
• Una recopilación de APIs públicas
• Una recopilación de datasets públicos
• Recopilación de datasets de BigML
• Datasets de ejemplo de IBM Watson Analytics
• Some datasets for teaching data science
• More datasets for teaching data science: The expanded dslabs package
• El planeta Tierra en AWS
• Tráfico en el Reino Unido
• European Banking Authority (EBA)
• World Bank Open Data 1 y 2
• Fondo Monetario Internacional
• Lista de algunos datatsets dentro de paquetes de R
• openflights.org/
• 30 Amazing (And Free) Big Data And AI Public Data Sources For 2018
• Awesome Public Datasets 1
• Awesome Public Datasets 2
• 25 Open Datasets for Deep Learning Every Data Scientist Must Work With
• NOAA Daily Global Historical Climatology Network - Kaggle dataset
• Crimen en UK
• Datos abiertos Ayuntamiento de Valencia
• Microsoft Research Open Data
• Kaggle Weekly Kernels Award Winner Announcements
• Open Data Renfe
• Open Data Barometer
• CIS. Centro de Investigaciones Sociológicas
• Fivethirtyeight
• Reddit datasets
• Data World
• The world’s economic database
• 25 Open Datasets for Deep Learning Every Data Scientist Must Work With
• Paquete pasra acceder al API del Instituto de Canario de Estadística
• Datos estadísticos DGT
• Yelp Dataset
• Awesome Sentinel. Copernicus Sentinel Satellites resources
• Datos Abiertos del Consorcio Regional de Transportes de Madrid
• Idealista ux&tech
• Ayuntamiento de Madrid. Censo de locales, sus actividades y terrazas de hostelería y restauración
• Agencia Tributaria. Estadísticas
• UK Office for National Statistics
• UK Open Geography Portal
• Open Trade Statistics
• Facebook Neural-Code-Search-Evaluation-Dataset [dataset]](https://github.com/facebookresearch/Neural-Code-Search-Evaluation-Dataset) y noticia
• Ultimos datos de Open Street Map. Spain
• NLP Datasets
• United Nations World Urbanization Prospects
• GHSL - Global Human Settlement Layer
• Socioeconomic Data and Applications Center (SEDAC)
• Cómo los datos abiertos pueden ayudar en la crisis de los refugiados
• Worldpop - Open Spatial Demographic Data y Worldpop Hub
• Center for Disease Control
• NASA
• World Economic Forum
• Universidad de Harvard
• MIT 1 y 2
• Pew Research Center
• Gapminder
• Reddit datasets
• Center for Applied Internet Data Analysis
• Google Books Ngram Viewe
• Free GIS Data
• Google Public Data
• Google Datset Search
• Open Data Sources Database
• Síntesis de Indicadores e Informes Macroeconómicos
• Tematicas.org Recopilación de series e índices
• Amazon product data 2014
• Amazon product data 2018
• The Big Bad NLP Database
• openaddresses
• Awesome Geospatial
• Satellite imagery datasets containing ships
• AI for Copernicus - a data repository by CALLISTO
• ESA WorldCover 2021. Global land cover product at 10 m for 2021 based on Sentinel-1 and 2 data
• Data Derived from OpenStreetMap for Download
• 25 Satellite Maps To See Earth in New Ways
• Armed Conflict Location & Event Data Project (ACLED)
• Sentinel Hub NoR Sponsored Accounts and Data Collections
• rspatialdata is a collection of data sources and tutorials on visualising spatial data using R
• awesome-gee-community-datasets
• gee-community-catalog
• The World Bank Open Knowledge Repository
• The Government Finance Database
• Microsoft - A Planetary Computer for a Sustainable Future
• HREA: High Resolution Electricity Access. Universidad de Michigan y Microsoft
• geoBoundaries
• FAO Map Catalog
• IPUMS GIS Boundary Files
• geodata.state.gov
• Natural Earth Vector. Github y Web
• Geoportal Registradores
• ESA OpenSR - Robust, accountable super-resolution for Sentinel-2 and beyond
• SEN2NAIP - Remote sensing dataset designed to support conventional and reference-based SR model training
• M3LEO: A Multi-Modal Multi-Label Earth Observation Dataset
• SARDet-100K: large-scale multi-class SAR object detection dataset
• Sen2Like
• Google Patents Public Data
• Digital Earth Africa (DE Africa) Map
• idealista18 - 2018 real estate listings in Spain. 3 cities
• British Ordnance Survey Data Hub
• Freshwater Ecoregions of the World
• FAO’s Global Information System on Water and Agriculture
• Data on CO2 and Greenhouse Gas Emissions by Our World in Data
• Open Africa dataset
• OSM Landuse
• One versus One - European football statistics
• StatsBomb sports data
• Data Kicks
• FBREF - Estadísticas e Historia del Fútbol
• Understat
• Geospatial Data Catalogs
• AWS Open Data
• AWS Open Data Geo
• AWS Open Data SpatioTemporal Asset Catalog (STAC)
• Google Earth Engine Catalog
• NASA Common Metadata Repository (CMR) SpatioTemporal Asset Catalog (STAC)
• STAC Index SpatioTemporal Asset Catalog (STAC)
• Maxar Open Data: Aquí y aquí
• OpenGEOS data
• Hugging Face Datasets
• UC Irvine Machine Learning Repository
• Mendeley Data
• Nature Scientific Data
• AWS Datasets
• Data.World Datasets
• USGS 3DEP LiDAR Point Clouds
• Datos de la Eurocopa 2024
• Open Charge Map. Global Open Data registry of electric vehicle charging locations. Export y Ejemplo
• NAIP: National Agriculture Imagery Program
• Planet SkySat Public Ortho Imagery, Multispectral
• Functional Map of the World (fMoW) Dataset
• UC Merced Land Use Dataset
• The SpaceNet Datasets
• AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
• Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution
• WHU-RS19 is a set of satellite images exported from Google Earth
• SkySat missions
• EarthView dataset
• ESA Third Party Missions (TPM)
• SkyFi Geospatial Hub
• Natural Earth Data
• USGS Earth Explorer
• Esri Open Data Hub
• UNEP Environmental Data Explorer
• NASA Earth Observations (NEO)
• Sentinel Satellite Data
• Open Topography
• Terra Populus
• ISCGM Global Map
• IPUMS provides census and survey data from around the world Web y paquete ipumsr
• EDGAR - Emissions Database for Global Atmospheric Research
• Copernicus Atmosphere Monitoring Service (CAMS) Global Near-Real-Time
• Sentinel-5P
• ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service
• Global Flood Database v1 (2000-2018)
• ISIMIP3b bias-adjusted atmospheric climate input data
• Dynamic World V1 Land Use

Otras referencias interesantes

• Data Science Blogs
• Chuleta general de R
• R Learning Path: From beginner to expert in R in 7 steps
• Rstudio cheatsheets
• R Markdown cheatsheet
• R Markdown referencia
• A dive into R Markdown
• Información de Rmarkdown en R Studio
• Template para documentos científicos con Rmarkdown
• Formatos a medida para R Markdown
• blogdown: Creating Websites with R Markdown
• Utilizando Sweave y Knitr
• Pandoc User’s Guide
• Soporte técnico de RStudio
• 100 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning
• Plataforma H2O
• Computer vision
• Pautas para dar formato al código programando en R: Google, Hadley Wickham (RStudio) y Coding Club
• The State of Naming Conventions in R
• R Code – Best practices
• R Coding Style Guide
• Naming files
• Documentacion de R
• Chuleta de expresiones regulares
• Regular Expressions Every R programmer Should Know
• Regular Expression Language - Quick Reference
• Dealing with Regular Expressions
• Writing an R package from scratch
• 16 Cursos
• Galerias de graficos
• Curso Caltech. Learning from data
• Usar git
• Blogs con github y Blogs con github y RStudio
• Ejemplos de Shiny
• UK government using R to modernize reporting of official statistics
• Ggplot
• Sistemas de Coordenadas. Aqui y aqui
• Codificación de caracteres
• Tutorials for learning R
• Awesome R
• R Data Science Tutorials
• useR! Machine Learning Tutorial
• Computerworld - Paquetes de R interesantes
• Otra lista de recursos variados en Github
• Tipos de licencias de software
• Glosario de Machine Learning de Google
• Google Rules of Machine Learning: Best Practices for ML Engineering
• Statistical Learning de Stanford with R Curso, Libro, Código y Transparencias
• An Introduction to Statistical Learning - Web R & Python
• 100 Free Tutorials for Learning R
• Google’s best practices in machine learning
• Web Scraping TripAdvisor, Text Mining and Sentiment Analysis for Hotel Reviews
• Common Probability Distributions: The Data Scientist’s Crib Sheet
• RDocumentation
• ArcGIS to R spatial cheat sheet
• Hand-curated, high quality resources for doing data journalism with R
• RMarkdown Driven Development (RmdDD)
• htmlwidgets for R - gallery
• Free R Reading Material
• The Chartmaker Directory
• Kaggle Winning Solutions
• Simplifying the ROC and AUC metrics
• Feature Engineering for Machine Learning
• Awesome Data Science
• Data Scientist Roadmap
• Data Science Collected Resources
• Data Science Cheatsheets
• Data Science Resources
• R for Water Resources Data Science
• GIS and mapping
• R package primer
• Using Geospatial Data in R
• Cómo crear una API en Python
• Cursos para aprender más sobre R
• Estadística con R
• Practical Introduction to Web Scraping in R
• R for Water Resources Data Science
• A ggplot2 Tutorial for Beautiful Plotting in R
• Bivariate Choropleth Maps: A How-to Guide
• Tipos de licencias open data (minicurso de data.europa.edu)
• Legalidad Web sraping: Is Web Scraping Legal? : The Definitive Guide (2024 update) y Web Scraping: ¿legal o ilegal?
• Information is Beautiful Awards
• Financial-Times / chart-doctor
• The Data Visualisation Catalogue
• From Data to Viz
• EUMETSAT science studies
• overpass turbo - Herremaienta de filtrado para OSM
• Remote Sensing for OSINT
• Investigative Journalism with Satellite Images
• CAMIS - A PHUSE DVOST Working Group. The repository below provides examples of statistical methodology in different software and languages, along with a comparison of the results obtained and description of any discrepancies.
• Microsoft Presidio - Data Protection and De-identification SDK
• GIS formats
• Data Viz Catalogue
• Dataviz Project
• Periodic Table Of Visualization Methods
• The TimeViz Browser 2.0
• The R Graph Gallery
• HOT - Drone Tasking Manager
• Remote sensing image retrieval
• BigEarthNet A Large-Scale Sentinel Benchmark Archive
• Global Fishing Watch. AI and satellite imagery to reveal the expanding footprint of human activity at sea. Post. Github. Train data. Analysis data and Vessel detection from Sentinel-1 SAR
• rseek.org - rstats search engine
• Information is beautiful

Libros

• R Markdown Cookbook
• R Markdown: The Definitive Guide
• Todos los libros en bookdown
• R intro
• R for everyone
• R in action
• R Programming for Data Science. Roger D. Peng.
• R para principiantes
• Introducción a R
• R para profesionales de los datos: una introducción
• 10 Free Must-Read Books for Machine Learning and Data Science
• Introduction to Data Science Libro y Código
• Fundamentals of Data Visualization Libro y Código
• Data Science Live Book Libro y Código
• R for Statistical Learning Libro y Código
• Applied Statistics with R Libro y Código
• Geocomputation with R Libro y Código
• Handling Strings with R
• Text Mining with R
• Efficient R programming
• BBC Visual and Data Journalism cookbook for R graphics
• Databases using R by RStudio
• Interpretable Machine Learning
• Forecasting: Principles and Practice
• Bioinformática Estadística. Análisis estadístico de datos Ómicos
• Estadística básica
• Probabilidad básica
• Estadística básica
• An Introduction to Spatial Data Analysis and Visualisation in R
• Exploratory Data Analysis with R - Roger D. Peng
• What They Forgot to Teach You About R
• Mastering Apache Spark with R Libro y Código
• Hands-On Machine Learning with R
• Hands-On Programming with R
• The 20 Best Data Science Books Available online in 2020
• Creating APIs in R with Plumber
• Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny
• Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
• Estilometría, análisis de textos en R para filólogos
• Engineering Production-Grade Shiny Apps
• Bayesian inference with INLA
• Happy Git and GitHub for the useR
• R for Data Science. Inglés y Castellano
• Data Visualization with R
• Big Book of R
• JavaScript for R
• Hands-On Data Visualization
• Fundamentals of Data Visualization
• Supervised Machine Learning for Text Analysis in R
• Modern R with the tidyverse
• Spatial Microsimulation with R
• R Advanced Spatial Lessons
• R Packages
• R Graphics Cookbook
• Advanced R
• rstudio4edu
• R for Health Data Science
• Linear Algebra for Data Science
• Aprendizaje Estadístico con R
• Simulación Estadística con R
• R para profesionales de los datos: una introducción
• Aprendiendo R sin morir en el intento
• Interpretable Machine Learning
• The caret Package
• Elegant and informative maps with tmap
• Spatial Modelling for Data Scientists
• Command Line Basics for R Users
• Engineering Production-Grade Shiny Apps
• Outstanding User Interfaces with Shiny
• The Shiny AWS Book
• Twitter for Scientists
• Spatial Data Science
• Handbook of Graphs and Networks in People Analytics
• Officeverse R & Office
• Spatial Analysis With R
• R Programming for Data Science
• The R Book
• R Notes for Professionals
• An Introduction to Spatial Data Analysis and Visualisation in R
• Think Bayes 2e
• Quantitative Politics with R
• Data Science in Education Using R
• Data Skills for Reproducible Science
• Handbook of Regression Modeling in People Analytics
• Handbook of Graphs and Networks in People Analytics With Examples in R and Python
• Tidy Finance with R
• Predictive Soil Mapping with R
• Deep Learning
• Technical Foundations of Informatics
• YaRrr! The Pirate’s Guide to R
• An R companion to Statistics: data analysis and modelling
• Learning Statistics with R
• Happy Git and GitHub for the useR
• Introduction to Econometrics with R
• R4JournalismBook
• Libro Vivo de Ciencia de Datos
• Introduction to Probability for Data Science
• Spatial Data Science with applications in R
• R for Data Analysis
• Data Analysis and Prediction Algorithms with R
• Análisis de datos y algoritmos de predicción con R
• The Art of Data Science
• R for data science: tidyverse and beyond
• Statistical Inference via Data Science
• Introduction to urban accessibility: a practical guide in R
• Tidy Finance
• Deep Learning and Scientific Computing with R torch
• Econometrics with the Tidyverse
• Building reproducible analytical pipelines with R
• Satellite Image Time Series Analysis on Earth Observation Data Cubes
• Spatial Statistics for Data Science: Theory and Practice with R
• Geographic Data Science with R: Visualizing and Analyzing Environmental Change
• Apache Arrow R Cookbook
• An Introduction to R and Python For Data Analysis: A Side By Side Approach
• Using the flextable R package
• Spatial sampling with R
• Interactive web-based data visualization with R, plotly, and shiny
• Modern Data Science with R
• Quarto for Scientists
• Introduction to Environmental Data Science
• Manual de R
• Modern R with the tidyverse
• Tidy Modeling with R
• Data Analysis in Medicine and Health using R
• Crime by the Numbers: A Criminologist’s Guide to R
• R Tutorial: Mastering Data Analysis and More
• Data transformation with R
• Data Visualization and Exploration with R
• Introduction to Probability and Statistics Using R
• Fundamentos de ciencia de datos con R
• Financial Risk Modelling and Portfolio Optimization with R
• R in Finance: Introduction to R and Its Applications in Finance
• Deep R Programming
• Beyond Multiple Linear Regression
• Analyzing US Census Data: Methods, Maps, and Models in R
• Psychometrics in Exercises using R and RStudio
• Introduction to NFL Analytics with R
• Feature Engineering and Selection: A Practical Approach for Predictive Models
• Applied Machine Learning Using mlr3 in R
• Behavior Analysis with Machine Learning Using R
• Data Analytics: A Small Data Approach
• R for Social Network Analysis
• Cookbook Polars for R
• DIY API with Make and {plumber}
• ggplot2: Elegant Graphics for Data Analysis (3e)
• R for the Rest of Us: A Statistics-Free Introduction
• Un Recorrido por los Métodos Cuantitativos en Ciencias Sociales a bordo de R
• What They Forgot to Teach You About R
• Tidyverse Skills for Data Science
• A Business Analyst’s Introduction to Business Analytics
• Telling Stories with Data
• The tidyverse style guide
• Empirical Research in Accounting: Tools and Methods
• Data Visualization with R
• Introduction to MySQL with R
• Physical Oceanography Distributed Active Archive Center totorials
• The SAR Handbook
• Advanced International Trade in R
• The Orange Book of Machine Learning
• Data Management in Large-Scale Education Research
• R for Non-Programmers: A Guide for Social Scientists

 

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A work by Santiago Mota

santiago_mota@yahoo.es